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TREC
2008
14 years 8 days ago
DUTIR at TREC 2008 Blog Track
For opinion finding task our method of the combination of 5 Windows method and Pseudo Relevance Feedback behaves well, achieving an improvement of over 20% on the baseline adhoc r...
Jianmei Chen, Wei Guo, Fengming Pan, Fuyang Chang,...
RIAO
2000
14 years 6 days ago
The Effect of Pseudo Relevance Feedback on MT-Based CLIR
In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of ps...
Yan Qu, Alla N. Eilerman, Hongming Jin, David A. E...
ICTIR
2009
Springer
14 years 5 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...
ECIR
2008
Springer
14 years 9 days ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger
ACL
2010
13 years 9 months ago
Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages
In a previous work of ours Chinnakotla et al. (2010) we introduced a novel framework for Pseudo-Relevance Feedback (PRF) called MultiPRF. Given a query in one language called Sour...
Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bh...